Soni Resources
We are seeking a skilled Enterprise Data Integration Architect to design and implement scalable, automated data solutions that drive efficiency and reduce manual processes. This role requires strong technical expertise in data integration and close collaboration with developers, data engineers, analysts, and scientists.
Key Responsibilities: Design and implement automated data integration solutions across cloud and on-prem environments Build and optimize ETL/ELT pipelines using Python, SQL, and cloud-native tools Leverage APIs, message brokers (e.g., Kafka, Pub/Sub), and iPaaS platforms (e.g., Boomi, MuleSoft) Ensure data quality, governance, and security across systems Monitor workflows, troubleshoot issues, and implement improvements for scalability Document technical processes, provide end-user support, and conduct knowledge sharing Collaborate with cross-functional teams to align solutions with business goals Support project lifecycle activities and adhere to architectural best practices
Qualifications:
Bachelor's degree in Computer Science or related field (or equivalent experience) Hands-on experience with cloud platforms, preferably GCP (BigQuery, Dataflow, Cloud Storage, Cloud Composer) Proficient in Python, SQL, ETL tools, and workflow orchestration (Airflow or similar) Experience with APIs (REST/SOAP), integration platforms, and enterprise data architecture Familiarity with DevOps (CI/CD for data), project management tools (e.g., JIRA), and data governance Experience with SAP data integration, Alteryx, IBM DataStage (a plus) Strong communication, critical thinking, and problem-solving skills Ability to manage multiple priorities and work independently or as part of a team
Compensation: $140,000 - 165,000 Salary is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications.
Key Responsibilities: Design and implement automated data integration solutions across cloud and on-prem environments Build and optimize ETL/ELT pipelines using Python, SQL, and cloud-native tools Leverage APIs, message brokers (e.g., Kafka, Pub/Sub), and iPaaS platforms (e.g., Boomi, MuleSoft) Ensure data quality, governance, and security across systems Monitor workflows, troubleshoot issues, and implement improvements for scalability Document technical processes, provide end-user support, and conduct knowledge sharing Collaborate with cross-functional teams to align solutions with business goals Support project lifecycle activities and adhere to architectural best practices
Qualifications:
Bachelor's degree in Computer Science or related field (or equivalent experience) Hands-on experience with cloud platforms, preferably GCP (BigQuery, Dataflow, Cloud Storage, Cloud Composer) Proficient in Python, SQL, ETL tools, and workflow orchestration (Airflow or similar) Experience with APIs (REST/SOAP), integration platforms, and enterprise data architecture Familiarity with DevOps (CI/CD for data), project management tools (e.g., JIRA), and data governance Experience with SAP data integration, Alteryx, IBM DataStage (a plus) Strong communication, critical thinking, and problem-solving skills Ability to manage multiple priorities and work independently or as part of a team
Compensation: $140,000 - 165,000 Salary is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications.